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Comparison · Analytics
Deequ vs Feedly
A side-by-side editorial comparison of Deequ and Feedly — release velocity, themes, recent moves, and the top alternatives to consider.
Deequ vs Feedly: at a glance
| Feature | Deequ | Feedly |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | data-quality, spark, dqdl, jvm-library | threat-intelligence, ai-agents, vulnerability-management, detection-rules |
| Last editorial update | 15h ago | 6d ago |
| Website | Visit → | — |
What is Deequ?
Deequ ships GitHub tags whose release notes are one commit message long
Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.
What is Feedly?
Feedly's reader roots recede as threat-intel agents take over the changelog
Feedly's changelog is now almost entirely a cyber threat intelligence product log. The last three months added models tuned for insider threats and threat actor campaigns, Suricata rule extraction, SPL queries alongside KQL, GreyNoise and VirusTotal enrichment, and a Vulnerability Agent. The August release extends Custom Intel Agents with Analyze and Research actions and adds a Censys lookup to IP cards.
Deequ vs Feedly: editorial side-by-side
Deequ
0.0ANALYTICS
Deequ ships GitHub tags whose release notes are one commit message long
◆ Current state
Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.
◆ Where it's heading
The visible work points in one direction — making check results programmatically consumable rather than just readable. A typed outcome API and a rule language binding are what you build when Deequ is being called from a pipeline that reacts to the result, not from a notebook where a human reads it. The column-pruning override added alongside the Range analyzer suggests the same attention on the cost side, keeping analyzers from scanning columns they do not reference.
◆ Prediction
The entries are too thin to support a confident read of what comes next; the only clear pattern is that each change will ship separately against Spark 3.5 and Spark 4.0, so the version skew between those branches will keep widening.
Feedly
5.0ANALYTICS
Feedly's reader roots recede as threat-intel agents take over the changelog
◆ Current state
Feedly's changelog is now almost entirely a cyber threat intelligence product log. The last three months added models tuned for insider threats and threat actor campaigns, Suricata rule extraction, SPL queries alongside KQL, GreyNoise and VirusTotal enrichment, and a Vulnerability Agent. The August release extends Custom Intel Agents with Analyze and Research actions and adds a Censys lookup to IP cards.
◆ Where it's heading
The arc runs from retrieval toward analysis: earlier releases broadened what Feedly could collect, recent ones give analysts agents that reason over it and emit artifacts their existing tools accept. Report Builder citations that trace a claim to its source passage target the trust problem gating generated intelligence in a SOC. Coverage has become table stakes; the contest is over whether analysts accept the machine's conclusions.
◆ Prediction
Expect the agent surface to keep gaining verbs rather than new data sources, with more export formats aimed at the SIEM and detection tooling analysts already run.
Alternatives to Deequ and Feedly
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Deequ or Feedly.
Omni
Omni ships weekly, and almost every week the headline item is an AI feature
OpenDataDiscovery
Four ODD Platform releases in two weeks, and not one of them changes the product
Apache Baremaps
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Marquez
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen
Amundsen's last release was a config flag, and the feed has been silent for two years
See all Deequ alternatives → · See all Feedly alternatives →
Recent activity from Deequ and Feedly
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7d agoFeedlyCustom Intel Agents gain Analyze and Research actions
- 21d agoFeedlyHunt threat actor campaigns and run SPL queries alongside KQL
- 1mo agoFeedlyFaster exploit triage, smarter Org Profiles, and more transparency across your Report Builder
- 1mo agoFeedlySuricata detection rules, Ask AI Research Playground, and more
- 2mo agoFeedlyTrack exploit types, Oracle and Atlassian advisories, and more
- 2mo agoFeedlySmarter insider threat detection, broader search coverage, and more
- 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
- 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
- 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
- 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
Frequently asked questions
What is the difference between Deequ and Feedly?
They serve adjacent needs but don't currently overlap on shipped themes. Feedly is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Deequ better than Feedly?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Feedly is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Deequ?
Top Deequ alternatives in Analytics are ranked by recent ship velocity. Browse the "Deequ alternatives" section above for the current picks, or visit /alternatives/deequ for the full list with editorial commentary on each.
What are the best alternatives to Feedly?
Top Feedly alternatives in Analytics are ranked by recent ship velocity. Browse the "Feedly alternatives" section above for the current picks, or visit /alternatives/feedly for the full list with editorial commentary on each.